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The general strategy is one of the liberalization of the economy and the government regulations that control it. Labor is exepected to be reallocated through free market mechanisms which encourage foreign investment. Concurrently a stratgey is being developed to supply the necessary human capital through a revaluationa and redirection of the educational system. Labor categories will experience significant shifts, but certain sectors may not shift adequately to meet demand. The analysis shows the misalignment of certain labor allocation strategies.There is a significant pent up demand in the country for European goods and services which will be substantially released with customs union. The challenge of the government is to develop globally competitive industries/companies which will find significant adavantage in free trade and be able to offset the increase in imports by a corresponding increase in exports. The government has identified some possible sectors for encouragement and assistance. A strategy for foreign investment in such sectors is being considered. Possible adjustments in strategy are outlined.

AbstractIntroductionAlthough transgender women (trans women) often are conflated with men who have sex with men (MSM) in HIV research and services, there are distinct population differences that are important for implementing effective HIV prevention. Our objective was to examine pre‐exposure prophylaxis (PrEP) disparities between the two populations and compare individual, social and structural factors that influence differences between MSM and trans women along the PrEP continuum.MethodsWe analysed data from two population‐based studies, one with trans women (Trans*National Study, 2016 ‐ 18) and the other with MSM (National HIV Behavioral Surveillance, 2017). Trans women were recruited via respondent‐driven sampling and MSM using time location sampling. Key indicators of the PrEP continuum were evaluated, including awareness, health insurance, provider discussions, recent use and adherence. Associations were also examined for PrEP continuum indicators and structural barriers (e.g. employment, homelessness).ResultsTranswomen were more likely than MSM to be Latino/a (30.4% vs. 25.8%; prevalence ratio (PR)=1.08, 95% CI 1.02 to 1.14) or African American (7.1% vs. 4.5%; PR = 1.12, 1.02 to 1.24), live at or below the poverty limit (70.7% vs. 15.8%; PR = 1.47; 1.41 to 1.53), be unemployed (50.1% vs. 26.3%; PR = 1.18, 1.13 to 1.24), be homeless (8.4% vs. 3.5%; PR = 1.15, 1.06 to 1.25) and to have less than a college degree (PR = 1.41, 1.34 to 1.48). Trans women were more likely than MSM to have health insurance (95.7% vs. 89.7%, PR = 1.17, 1.06 to 1.28), but less likely than MSM to have heard of PrEP (79.1% vs. 96.7%; PR = 0.77, 0.73 to 0.81), talked with a provider about PrEP (35.5% vs. 54.9%; PR = 0.87, 0.83 to 0.91) and less likely than MSM to have used PrEP in the past six months (14.6% vs. 39.8%; PR = 0.80, 0.76 to 0.84). Among PrEP users, trans women were less likely to report being adherent to PrEP than MSM (70.4% vs. 87.4%; PR = 0.80, 0.70 to 0.91).ConclusionsWe found PrEP disparities for trans women compared to MSM and the need for differentiated implementation strategies to meet the specific PrEP barriers trans women face. Inclusion of trans women's HIV risks is needed in CDC guidance for PrEP. Interventions to increase trans women's awareness of PrEP including at the provider and community level are also needed. Finally, programming that addresses trans women's barriers to housing and income is also needed to reduce PrEP disparities.